Founding Algorithm Developer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Seed From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Founding Algorithm Developer New York City | OnSite Fleetline writes optimization algorithms for enterprise trucking fleets. We work with some of the largest fleets in the country and are rapidly scaling our operations. A bit about us - Scaled from 0 to >$1.5m in signed contracts in under eight months; month-over-month growth is still increasing - Lean team of 12 based in New York City; everyone deeply cares about the company's mission, our clients, and each other. That care translates into high standards, close relationships, and intensity. - Backed by a large seed round from top investors like BoxGroup, Base10, and more. About the role - Build and scale core optimization algorithms used directly in production - Write optimization systems (e.g. MILPs, LPs, heuristics, etc.) - Build and maintain data pipelines that operate at real production scale - Move quickly from idea → implementation → customer usage - Contribute to long-term product and technical direction - Willingness to do whatever is needed technically, from deep algorithm work to integration and tooling - Comfortable being forward-deployed: talking to customers, understanding constraints, and solving concrete problems - In office in New York City is required. What we're looking for - Has experience writing optimization algorithms (MILPs, ML, DP, RL, stochastic models, heuristics, or similar) - A generalist who can operate across the stack when needed - Ships code fast and often; not a perfectionist - Comfortable working in ambiguity with incomplete information - Extremely hardworking when part of a strong, mission-aligned team

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